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Version 1.8.1  (2003-11-21), ISBN 3-900051-00-3

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> invisible(options(echo = TRUE))
> #
> # This estimates the Florida model for five categories
> 
> options(width=120);
> set.seed(19342)
> 
> if (!exists("multinomRob"))
+ 	library(multinomRob)
Loading required package: rgenoud 
Loading required package: MASS 
Loading required package: mvtnorm 
> 
> ## read data
> dta <- read.table("REPLICATION_DATA.asc", header=TRUE)
> 
> dta$pdemnader96 <- dta$pdem96 + dta$pnader96 ;
> dta$other00 <- dta$other.candidates00 ;
> 
> ## See names
> names(dta)
 [1] "name"               "TotalVotes00"       "TotalVotes96"       "pDemRV00"           "pRepRV00"          
 [6] "pBlackDemRV00"      "pNonBlackDemRV00"   "pDemRV96"           "pRepRV96"           "pChangeDemRV00"    
[11] "pChangeRepRV00"     "pdem00"             "prep00"             "buchanan00"         "nader00"           
[16] "gore00"             "bush00"             "other.candidates00" "pperot96"           "pnader96"          
[21] "pdem96"             "prep96"             "pGreenRV00"         "pChangeDemRV00.1"   "pChangeRepRV00.1"  
[26] "pcuban00"           "pr1...1."           "pr1...2."           "pr1...3."           "pr1...4."          
[31] "pr2...1."           "pr2...2."           "pr2...3."           "pr2...4."           "pr3...1."          
[36] "pr3...2."           "pr3...3."           "pr3...4."           "inc"                "cen00.native"      
[41] "cen00.asian"        "college"            "cen00.black"        "cen00.hispanic"     "cen00.white"       
[46] "density"            "cen00.population"   "pdemnader96"        "other00"           
> ## And define a model using these names:
> model <- list(buchanan00 ~ pperot96 + pChangeRepRV00 + pcuban00 + pr1...1.,
+               nader00    ~ pdemnader96 +  pGreenRV00 + pcuban00 +   pr1...2.,
+               gore00     ~ pdem96 + pChangeDemRV00 + pcuban00 + pr1...3.,
+               bush00     ~ prep96 + pChangeRepRV00 + pcuban00 + pr1...4.,
+               other00    ~ 0
+               )
> 
> ## Set parameters for Genoud
> zz.genoud.parms <- list(wait.generations      = 30,
+                         pop.size              = 3000,
+                         P5                    = 750,
+                         scale.domains         = 4,
+                         MemoryMatrix          = TRUE
+                         )
> 
> load("FLfull1.a.RData");
> starts <- muFLfull1$mtanh$coeffvec;
> 
> muFLfull1 <- multinomRob(model,
+                  data=dta,
+                  starting.values = starts,
+                  genoud.parms   = zz.genoud.parms,
+                  print.level    = 3 ) 

Your Model (xvec):
                                                           buchanan00 nader00 gore00 bush00 other00
(Intercept)/(Intercept)/(Intercept)/(Intercept)/NA                  1       1      1      1       0
pperot96/pdemnader96/pdem96/prep96/NA                               1       1      1      1       0
pChangeRepRV00/pGreenRV00/pChangeDemRV00/pChangeRepRV00/NA          1       1      1      1       0
pcuban00/pcuban00/pcuban00/pcuban00/NA                              1       1      1      1       0
pr1...1./pr1...2./pr1...3./pr1...4./NA                              1       1      1      1       0
multinomRob(): Starting Values 
                                                            buchanan00      nader00     gore00       bush00 other00
(Intercept)/(Intercept)/(Intercept)/(Intercept)/NA         -0.60289980   0.72474965 3.35097285  4.082978517       0
pperot96/pdemnader96/pdem96/prep96/NA                       4.67113304   1.28489046 3.04973640  1.732836788       0
pChangeRepRV00/pGreenRV00/pChangeDemRV00/pChangeRepRV00/NA 13.20404872 638.40858219 1.08822419  2.613743540       0
pcuban00/pcuban00/pcuban00/pcuban00/NA                     -1.05402855  -1.02616980 1.47292387  2.763455540       0
pr1...1./pr1...2./pr1...3./pr1...4./NA                     -0.05072537   0.03589573 0.02198428 -0.007951595       0
multinomRob(): starting fit = 5.184236 


Fri Mar  5 01:38:05 2004
Domains:
 -3.014499e+00   <=  X1   <=    1.808699e+00 
 -1.401340e+01   <=  X2   <=    2.335567e+01 
 -3.961215e+01   <=  X3   <=    6.602024e+01 
 -5.270143e+00   <=  X4   <=    3.162086e+00 
 -2.536269e-01   <=  X5   <=    1.521761e-01 
 -2.174249e+00   <=  X6   <=    3.623748e+00 
 -3.854671e+00   <=  X7   <=    6.424452e+00 
 -1.915226e+03   <=  X8   <=    3.192043e+03 
 -5.130849e+00   <=  X9   <=    3.078509e+00 
 -1.076872e-01   <=  X10  <=    1.794786e-01 
 -1.005292e+01   <=  X11  <=    1.675486e+01 
 -9.149209e+00   <=  X12  <=    1.524868e+01 
 -3.264673e+00   <=  X13  <=    5.441121e+00 
 -4.418772e+00   <=  X14  <=    7.364619e+00 
 -6.595284e-02   <=  X15  <=    1.099214e-01 
 -1.224894e+01   <=  X16  <=    2.041489e+01 
 -5.198510e+00   <=  X17  <=    8.664184e+00 
 -7.841231e+00   <=  X18  <=    1.306872e+01 
 -8.290367e+00   <=  X19  <=    1.381728e+01 
 -3.975798e-02   <=  X20  <=    2.385479e-02 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	139
	(2) Uniform Mutation.................. 	136
	(3) Boundary Mutation................. 	136
	(4) Non-Uniform Mutation.............. 	136
	(5) Polytope Crossover................ 	2044
	(6) Multiple Point Simple Crossover... 	136
	(7) Whole Non-Uniform Mutation........ 	136
	(8) Heuristic Crossover............... 	136
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 30
Population size       : 3000
Convergence Tolerance: 1.000000e-07

Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stoping
Using Out of Bounds Individuals.



Minimization Problem.



STARTING VALUES


The 2 best initial individuals are
-0.60	 4.67	13.20	-1.05	-0.05	 0.72	 1.28	638.41	-1.03	 0.04	 3.35	 3.05	 1.09	 1.47	 0.02	 4.08	 1.73	 2.61	 2.76	-0.01	
fitness = 5.184236e+00

 0.85	-3.85	10.34	-0.16	 0.11	 3.10	-3.61	-978.77	-3.88	 0.12	-8.80	-1.65	-2.12	 1.21	 0.04	 5.11	 0.48	 1.21	-4.39	 0.02	
fitness = 2.004000e+01


The worst fit of the population is: 7.832426e+06




Generation#	    Solution Value

      0 	5.184236e+00
      1 	5.098233e+00
      2 	5.078800e+00
XXX
XXX
      3 	5.069428e+00
XXX
      4 	5.067371e+00
      5 	5.059948e+00
      6 	5.043565e+00
      7 	5.041831e+00
XXX
      8 	5.036724e+00
XXX
      9 	5.032895e+00
XXX
XXX
     10 	5.024393e+00
XXX
XXX
     11 	5.014775e+00
     12 	5.014114e+00
XXX
XXX
XXX
XXX
XXX
XXX
XXX
     13 	5.004305e+00
     14 	5.003704e+00
XXX
XXX
     15 	4.992463e+00
     16 	4.991387e+00
     17 	4.991287e+00
     18 	4.990772e+00
     19 	4.988317e+00
XXX
XXX
XXX
     20 	4.987771e+00
XXX
     21 	4.986203e+00
     22 	4.985946e+00
     23 	4.985242e+00
XXX
     24 	4.984344e+00
XXX
     26 	4.982820e+00
     27 	4.982458e+00
     28 	4.982123e+00
     29 	4.981577e+00
     31 	4.981572e+00
     32 	4.978969e+00
     33 	4.978967e+00
     34 	4.978949e+00
     35 	4.978949e+00
     36 	4.978949e+00
     37 	4.978949e+00
     38 	4.978948e+00
     39 	4.978948e+00
     40 	4.978935e+00
     41 	4.978934e+00
     42 	4.978881e+00
     43 	4.978877e+00
     44 	4.978873e+00
     45 	4.978869e+00
     46 	4.978808e+00
     47 	4.978808e+00
     48 	4.978807e+00
     49 	4.978807e+00
     50 	4.978807e+00
     51 	4.978807e+00
     52 	4.978804e+00
     53 	4.978804e+00
     54 	4.978801e+00
     55 	4.978799e+00
     56 	4.978798e+00
     57 	4.978797e+00
     58 	4.978795e+00
XXX
XXX
XXX
XXX
     59 	4.978759e+00
XXX
     60 	4.978684e+00
     61 	4.978684e+00
     62 	4.978431e+00
     63 	4.978399e+00
     64 	4.978324e+00
     65 	4.978253e+00
     66 	4.978136e+00
     67 	4.978105e+00
     68 	4.978081e+00
     69 	4.978072e+00
     70 	4.978070e+00
     71 	4.978069e+00
     72 	4.978066e+00
     73 	4.978057e+00
     74 	4.978033e+00
     75 	4.977952e+00
     76 	4.977891e+00
     77 	4.977883e+00
     78 	4.977878e+00
     79 	4.977844e+00
     80 	4.977825e+00
     81 	4.977794e+00
     82 	4.977791e+00
     83 	4.977770e+00
     84 	4.977742e+00
     85 	4.977735e+00
     86 	4.977730e+00
     87 	4.977730e+00
XXX
XXX
XXX
     88 	4.977729e+00
     89 	4.977728e+00
     90 	4.977724e+00
     91 	4.977721e+00
     92 	4.977721e+00
     93 	4.977721e+00
     94 	4.977720e+00
     95 	4.977720e+00
     96 	4.977720e+00
     97 	4.977720e+00
XXX
XXX
XXX
     98 	4.977680e+00
     99 	4.977677e+00
    100 	4.977673e+00

Increasing Soft Maximum Generation Limit by 100 (MaxGenerations) to 200.
I'm doing this because the fitness is still improving.

    101 	4.977671e+00
    102 	4.977670e+00
    103 	4.977649e+00
    104 	4.977591e+00
    105 	4.977572e+00
    106 	4.977572e+00
    107 	4.977572e+00
    108 	4.977572e+00
    109 	4.977569e+00
    110 	4.977564e+00
    111 	4.977564e+00
    112 	4.977564e+00
    113 	4.977564e+00
XXX
XXX
    114 	4.977554e+00
    115 	4.977551e+00
    116 	4.977551e+00
    117 	4.977551e+00
    118 	4.977551e+00
    119 	4.977550e+00
    120 	4.977550e+00
    121 	4.977548e+00
XXX
XXX
XXX
XXX
XXX
XXX
    122 	4.977540e+00
    123 	4.977540e+00
    124 	4.977540e+00
    125 	4.977540e+00
    126 	4.977540e+00
    127 	4.977540e+00
    129 	4.977540e+00
    130 	4.977540e+00
    131 	4.977540e+00
    132 	4.977540e+00
    133 	4.977540e+00
    134 	4.977540e+00
    135 	4.977540e+00
    136 	4.977540e+00
    137 	4.977540e+00
    138 	4.977539e+00
    139 	4.977539e+00
    140 	4.977539e+00
    141 	4.977539e+00
    142 	4.977539e+00
    143 	4.977539e+00
    144 	4.977539e+00
    145 	4.977538e+00
    146 	4.977538e+00
    147 	4.977538e+00
    148 	4.977538e+00
    149 	4.977538e+00
    150 	4.977538e+00
    151 	4.977538e+00
    152 	4.977537e+00
    153 	4.977536e+00
XXX
    154 	4.977530e+00
    155 	4.977509e+00
    156 	4.977501e+00
    157 	4.977377e+00
    158 	4.977326e+00
    159 	4.977319e+00
XXX
    160 	4.977253e+00
XXX
    161 	4.977239e+00
    162 	4.977235e+00
    163 	4.977226e+00
    164 	4.977215e+00
    165 	4.977210e+00
    166 	4.977209e+00
    167 	4.977208e+00
    168 	4.977207e+00
    169 	4.977207e+00
    170 	4.977207e+00

WARNING: Turning Off MemoryMatrix because memory usage is too great.

    171 	4.977207e+00
    172 	4.977206e+00
    173 	4.977204e+00
    174 	4.977203e+00
    175 	4.977203e+00
    176 	4.977202e+00
    177 	4.977201e+00
    178 	4.977201e+00
    179 	4.977200e+00
    180 	4.977199e+00
    181 	4.977199e+00
    182 	4.977199e+00
    183 	4.977198e+00
    184 	4.977198e+00
    185 	4.977198e+00
    186 	4.977198e+00
    187 	4.977198e+00
    188 	4.977197e+00
    189 	4.977197e+00
    190 	4.977196e+00
    191 	4.977196e+00
    192 	4.977196e+00
    193 	4.977196e+00
    194 	4.977196e+00
    195 	4.977195e+00
    196 	4.977195e+00
    197 	4.977195e+00
    198 	4.977195e+00
    199 	4.977195e+00
    200 	4.977195e+00

Increasing Soft Maximum Generation Limit by 200 (MaxGenerations) to 400.
I'm doing this because the fitness is still improving.

    201 	4.977195e+00
    202 	4.977195e+00
    203 	4.977195e+00
    204 	4.977195e+00
    205 	4.977195e+00
    206 	4.977195e+00
    207 	4.977194e+00
    208 	4.977194e+00
    209 	4.977194e+00
    210 	4.977194e+00
    211 	4.977194e+00
    212 	4.977194e+00
    213 	4.977194e+00
    214 	4.977193e+00
XXX
    215 	4.977193e+00
    216 	4.977193e+00
XXX
XXX
    217 	4.977190e+00
    218 	4.977190e+00
    219 	4.977189e+00
    220 	4.977188e+00
    221 	4.977187e+00
    222 	4.977186e+00
    223 	4.977186e+00
    224 	4.977186e+00
    225 	4.977186e+00
    226 	4.977186e+00
    227 	4.977186e+00
    228 	4.977186e+00
    229 	4.977186e+00
    230 	4.977186e+00
    231 	4.977186e+00
    232 	4.977186e+00
    233 	4.977186e+00
    234 	4.977186e+00
    235 	4.977186e+00
    236 	4.977186e+00
    237 	4.977186e+00
    238 	4.977186e+00
    239 	4.977186e+00
    240 	4.977186e+00
    241 	4.977186e+00
    242 	4.977186e+00
    243 	4.977186e+00
    244 	4.977186e+00
    245 	4.977186e+00
    246 	4.977186e+00
    247 	4.977186e+00
    248 	4.977185e+00
    249 	4.977185e+00
    250 	4.977185e+00
    251 	4.977185e+00
    252 	4.977185e+00
    253 	4.977185e+00
    254 	4.977185e+00
    255 	4.977185e+00
    256 	4.977185e+00
    257 	4.977185e+00
    258 	4.977185e+00
    259 	4.977185e+00
    260 	4.977185e+00
    261 	4.977185e+00
    262 	4.977185e+00
    263 	4.977185e+00
    264 	4.977185e+00
    265 	4.977185e+00
    266 	4.977185e+00
    267 	4.977185e+00
    268 	4.977185e+00
    269 	4.977185e+00
    270 	4.977185e+00
    271 	4.977185e+00
    272 	4.977185e+00
    273 	4.977185e+00
    274 	4.977185e+00
    275 	4.977185e+00
    276 	4.977185e+00
    277 	4.977185e+00
    278 	4.977185e+00
    279 	4.977185e+00
    280 	4.977185e+00
    281 	4.977185e+00
    282 	4.977185e+00
    283 	4.977185e+00
    284 	4.977185e+00
    285 	4.977185e+00
    286 	4.977185e+00
    287 	4.977185e+00
    288 	4.977185e+00
    289 	4.977185e+00
    290 	4.977185e+00
    291 	4.977185e+00
    292 	4.977185e+00
    293 	4.977185e+00
    294 	4.977185e+00
    295 	4.977184e+00
    296 	4.977184e+00
    297 	4.977184e+00
    298 	4.977184e+00
    299 	4.977184e+00
    300 	4.977184e+00
    301 	4.977184e+00
    302 	4.977184e+00
    303 	4.977184e+00
    304 	4.977184e+00
    305 	4.977184e+00
    306 	4.977184e+00
    307 	4.977184e+00
    308 	4.977184e+00
    309 	4.977184e+00
    310 	4.977184e+00
    311 	4.977184e+00
    312 	4.977184e+00
    313 	4.977184e+00
    314 	4.977184e+00
    315 	4.977184e+00
    316 	4.977184e+00
    317 	4.977184e+00
    318 	4.977184e+00
    319 	4.977184e+00
    320 	4.977184e+00
    321 	4.977184e+00
    322 	4.977184e+00
    323 	4.977184e+00
    324 	4.977184e+00
    325 	4.977184e+00
    326 	4.977184e+00
    327 	4.977184e+00
    328 	4.977183e+00
    329 	4.977183e+00
    330 	4.977182e+00
    331 	4.977181e+00
    332 	4.977180e+00
    333 	4.977179e+00
    334 	4.977178e+00
    335 	4.977178e+00
    336 	4.977177e+00
    337 	4.977176e+00
    338 	4.977176e+00
    339 	4.977175e+00
    340 	4.977175e+00
    341 	4.977175e+00
    342 	4.977170e+00
    343 	4.977168e+00
    344 	4.977164e+00
    345 	4.977164e+00
    346 	4.977163e+00
    347 	4.977163e+00
    348 	4.977163e+00
    349 	4.977163e+00
    350 	4.977163e+00
    351 	4.977163e+00
    352 	4.977161e+00
    353 	4.977159e+00
    354 	4.977157e+00
XXX
XXX
XXX
    355 	4.977156e+00
    356 	4.977155e+00
    357 	4.977155e+00
    358 	4.977155e+00
    359 	4.977155e+00
    360 	4.977155e+00
    361 	4.977154e+00
    362 	4.977154e+00
    363 	4.977154e+00
    364 	4.977154e+00
    365 	4.977154e+00
    366 	4.977154e+00
    367 	4.977154e+00
    368 	4.977154e+00
    369 	4.977154e+00
    370 	4.977154e+00
    371 	4.977154e+00
    372 	4.977153e+00
    373 	4.977152e+00
    374 	4.977152e+00
    375 	4.977152e+00
    376 	4.977152e+00
    377 	4.977152e+00
    378 	4.977152e+00
    379 	4.977152e+00
    380 	4.977152e+00
    381 	4.977152e+00
    382 	4.977152e+00
    383 	4.977152e+00
    384 	4.977152e+00
    385 	4.977152e+00
    386 	4.977152e+00
    387 	4.977152e+00
    388 	4.977152e+00
    389 	4.977152e+00
    390 	4.977152e+00
    391 	4.977152e+00
    392 	4.977152e+00
    393 	4.977152e+00
    394 	4.977152e+00
    395 	4.977152e+00
    396 	4.977152e+00
    397 	4.977152e+00
    398 	4.977152e+00
    399 	4.977152e+00
    400 	4.977152e+00

Increasing Soft Maximum Generation Limit by 400 (MaxGenerations) to 800.
I'm doing this because the fitness is still improving.

    401 	4.977152e+00
    402 	4.977152e+00
    403 	4.977151e+00
    404 	4.977151e+00
    405 	4.977151e+00
    406 	4.977151e+00
    407 	4.977151e+00
    408 	4.977151e+00
    409 	4.977151e+00
    410 	4.977151e+00
    411 	4.977151e+00
    412 	4.977151e+00
    413 	4.977151e+00
    414 	4.977151e+00
    415 	4.977151e+00
    416 	4.977151e+00
    417 	4.977151e+00
    418 	4.977151e+00
    419 	4.977151e+00
    420 	4.977151e+00
    421 	4.977151e+00
    422 	4.977151e+00
    423 	4.977151e+00
    424 	4.977151e+00
    425 	4.977151e+00
    426 	4.977151e+00
    427 	4.977151e+00
    428 	4.977151e+00
    429 	4.977151e+00
    430 	4.977151e+00
    431 	4.977151e+00
    432 	4.977151e+00
    433 	4.977151e+00
    434 	4.977151e+00
    435 	4.977151e+00
    436 	4.977151e+00
    437 	4.977151e+00
    438 	4.977151e+00
    439 	4.977151e+00
    440 	4.977151e+00
    441 	4.977151e+00
    442 	4.977151e+00
    443 	4.977151e+00
    444 	4.977151e+00
    445 	4.977151e+00
    446 	4.977151e+00
    447 	4.977151e+00
    448 	4.977151e+00
    449 	4.977151e+00
    450 	4.977151e+00
    451 	4.977151e+00
    452 	4.977151e+00
    453 	4.977151e+00
    454 	4.977151e+00
    455 	4.977151e+00
    456 	4.977151e+00
    457 	4.977151e+00
    458 	4.977151e+00
    459 	4.977151e+00
    460 	4.977151e+00
    461 	4.977151e+00
    462 	4.977151e+00
    463 	4.977151e+00
    464 	4.977151e+00
    465 	4.977151e+00
    466 	4.977151e+00
    467 	4.977150e+00
    468 	4.977150e+00
    469 	4.977150e+00
    470 	4.977150e+00
    471 	4.977150e+00
    472 	4.977150e+00
    473 	4.977150e+00
    474 	4.977150e+00
    475 	4.977150e+00
    476 	4.977150e+00
    477 	4.977150e+00
    478 	4.977150e+00
    479 	4.977150e+00
    480 	4.977150e+00
    481 	4.977150e+00
    482 	4.977150e+00
    483 	4.977150e+00
    484 	4.977150e+00
    485 	4.977150e+00
    486 	4.977150e+00
    487 	4.977150e+00
    488 	4.977150e+00
    489 	4.977150e+00
    490 	4.977150e+00
    491 	4.977149e+00
    492 	4.977149e+00
    493 	4.977149e+00
    494 	4.977149e+00
    495 	4.977149e+00
    496 	4.977149e+00
    497 	4.977149e+00
    498 	4.977149e+00
    499 	4.977149e+00
    500 	4.977148e+00
XXX
    501 	4.977148e+00
    502 	4.977148e+00
    503 	4.977148e+00
    504 	4.977148e+00
    505 	4.977148e+00
    506 	4.977148e+00
    507 	4.977148e+00
    508 	4.977148e+00
    509 	4.977148e+00
    510 	4.977148e+00
    511 	4.977148e+00
    512 	4.977148e+00
    513 	4.977148e+00
    514 	4.977148e+00
    515 	4.977148e+00
    516 	4.977148e+00
    517 	4.977148e+00
    518 	4.977148e+00
    519 	4.977148e+00
    520 	4.977148e+00
    521 	4.977148e+00
    522 	4.977148e+00
    523 	4.977148e+00
    524 	4.977148e+00
    525 	4.977148e+00
    533 	4.977148e+00
    534 	4.977148e+00

Soft Generation Wait Limit Hit.
No Improvement in 30 Generations

Best Fit Found at Generation 534
Fit Value = 4.977148e+00


Parameters at the Solution (value, gradient):

 X[ 1] :	-6.034942e-01	G[ 1] :	-3.046682e+00
 X[ 2] :	4.950873e+00	G[ 2] :	-1.937131e+00
 X[ 3] :	1.382922e+01	G[ 3] :	-2.735559e-01
 X[ 4] :	-8.279025e-01	G[ 4] :	5.699261e-02
 X[ 5] :	-4.779607e-02	G[ 5] :	4.278927e+01
 X[ 6] :	7.270464e-01	G[ 6] :	-2.525962e+01
 X[ 7] :	1.286043e+00	G[ 7] :	-4.041757e+00
 X[ 8] :	6.383879e+02	G[ 8] :	-1.425672e-03
 X[ 9] :	-1.136992e+00	G[ 9] :	-1.194731e-04
 X[10] :	4.203143e-02	G[10] :	1.797370e+01
 X[11] :	3.350053e+00	G[11] :	-7.786980e+00
 X[12] :	3.049476e+00	G[12] :	-9.497098e+00
 X[13] :	1.088496e+00	G[13] :	-9.757018e-01
 X[14] :	1.469300e+00	G[14] :	-1.358303e+00
 X[15] :	2.195670e-02	G[15] :	1.426390e+02
 X[16] :	4.083941e+00	G[16] :	1.351092e+01
 X[17] :	1.732886e+00	G[17] :	3.616381e+00
 X[18] :	2.613913e+00	G[18] :	-1.951147e+00
 X[19] :	2.788465e+00	G[19] :	1.772236e+00
 X[20] :	-1.044918e-02	G[20] :	-8.494238e+02

Solution Found Generation 534
Number of Generations Run 534


Fri Mar  5 02:32:42 2004
Total run time : 0 hours 54 minutes and 37 seconds


LQD Results:
                                                            buchanan00      nader00    gore00      bush00 other00
(Intercept)/(Intercept)/(Intercept)/(Intercept)/NA         -0.60349420   0.72704645 3.3500530  4.08394107       0
pperot96/pdemnader96/pdem96/prep96/NA                       4.95087302   1.28604294 3.0494763  1.73288593       0
pChangeRepRV00/pGreenRV00/pChangeDemRV00/pChangeRepRV00/NA 13.82921755 638.38788355 1.0884964  2.61391260       0
pcuban00/pcuban00/pcuban00/pcuban00/NA                     -0.82790255  -1.13699247 1.4693001  2.78846495       0
pr1...1./pr1...2./pr1...3./pr1...4./NA                     -0.04779607   0.04203143 0.0219567 -0.01044918       0

LQD sigma: 4.977148 


(multinomTanh):
Tanh Estimates
                                                            buchanan00      nader00     gore00       bush00 other00
(Intercept)/(Intercept)/(Intercept)/(Intercept)/NA         -0.60241137   0.71798101 3.35283602  4.081912839       0
pperot96/pdemnader96/pdem96/prep96/NA                       4.67576044   1.30316676 3.04692823  1.735487425       0
pChangeRepRV00/pGreenRV00/pChangeDemRV00/pChangeRepRV00/NA 13.21465178 636.24157869 1.09607563  2.606496760       0
pcuban00/pcuban00/pcuban00/pcuban00/NA                     -1.05105135  -1.02647323 1.47362294  2.762961211       0
pr1...1./pr1...2./pr1...3./pr1...4./NA                     -0.05086517   0.03496244 0.02167804 -0.008182195       0

Tanh Sandwich SEs
                                                           buchanan00     nader00     gore00      bush00 other00
(Intercept)/(Intercept)/(Intercept)/(Intercept)/NA         0.14717481  0.18097388 0.15071560 0.138733526       0
pperot96/pdemnader96/pdem96/prep96/NA                      1.31784659  0.45024698 0.31155114 0.287317816       0
pChangeRepRV00/pGreenRV00/pChangeDemRV00/pChangeRepRV00/NA 1.23751951 77.17215012 0.91389543 0.709968090       0
pcuban00/pcuban00/pcuban00/pcuban00/NA                     0.44608186  0.27665718 0.23816802 0.222669235       0
pr1...1./pr1...2./pr1...3./pr1...4./NA                     0.02400555  0.01422656 0.01034019 0.007434555       0

TANH sigma: 4.325627 


**********************************

Iteration: 1 
using best non-genoud LQD sigma. Provided by Tanh.


Fri Mar  5 02:32:44 2004
Domains:
 -1.807234e+00   <=  X1   <=    6.024114e-01 
 -4.675760e+00   <=  X2   <=    1.402728e+01 
 -1.321465e+01   <=  X3   <=    3.964396e+01 
 -3.153154e+00   <=  X4   <=    1.051051e+00 
 -1.525955e-01   <=  X5   <=    5.086517e-02 
 -7.179810e-01   <=  X6   <=    2.153943e+00 
 -1.303167e+00   <=  X7   <=    3.909500e+00 
 -6.362416e+02   <=  X8   <=    1.908725e+03 
 -3.079420e+00   <=  X9   <=    1.026473e+00 
 -3.496244e-02   <=  X10  <=    1.048873e-01 
 -3.352836e+00   <=  X11  <=    1.005851e+01 
 -3.046928e+00   <=  X12  <=    9.140785e+00 
 -1.096076e+00   <=  X13  <=    3.288227e+00 
 -1.473623e+00   <=  X14  <=    4.420869e+00 
 -2.167804e-02   <=  X15  <=    6.503413e-02 
 -4.081913e+00   <=  X16  <=    1.224574e+01 
 -1.735487e+00   <=  X17  <=    5.206462e+00 
 -2.606497e+00   <=  X18  <=    7.819490e+00 
 -2.762961e+00   <=  X19  <=    8.288884e+00 
 -2.454659e-02   <=  X20  <=    8.182195e-03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	139
	(2) Uniform Mutation.................. 	136
	(3) Boundary Mutation................. 	136
	(4) Non-Uniform Mutation.............. 	136
	(5) Polytope Crossover................ 	2044
	(6) Multiple Point Simple Crossover... 	136
	(7) Whole Non-Uniform Mutation........ 	136
	(8) Heuristic Crossover............... 	136
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 30
Population size       : 3000
Convergence Tolerance: 1.000000e-07

Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stoping
Using Out of Bounds Individuals.



Minimization Problem.



STARTING VALUES


The 2 best initial individuals are
-0.60	 4.68	13.21	-1.05	-0.05	 0.72	 1.30	636.24	-1.03	 0.03	 3.35	 3.05	 1.10	 1.47	 0.02	 4.08	 1.74	 2.61	 2.76	-0.01	
fitness = 5.185064e+00

-0.08	 1.11	12.80	 0.51	-0.03	 0.78	 0.59	223.99	-0.81	 0.02	 3.67	 1.75	 0.88	 2.99	 0.03	 4.47	 0.74	 2.47	 3.87	-0.00	
fitness = 9.497310e+00


The worst fit of the population is: 5.686778e+04




Generation#	    Solution Value

      0 	5.185064e+00
XXX
      1 	5.097558e+00
      2 	5.084241e+00
      3 	5.055396e+00
XXX
XXX
XXX
XXX
XXX
XXX
      4 	5.052941e+00
      5 	5.034494e+00
XXX
XXX
XXX
XXX
XXX
XXX
      6 	5.021995e+00
      7 	5.020256e+00
      8 	5.003051e+00
      9 	4.999155e+00
     10 	4.998392e+00
     11 	4.998087e+00
XXX
XXX
XXX
     12 	4.997630e+00
     13 	4.997546e+00
     14 	4.997371e+00
XXX
XXX
     15 	4.995156e+00
     16 	4.993094e+00
XXX
XXX
     17 	4.992749e+00
XXX
XXX
XXX
XXX
     18 	4.987534e+00
     19 	4.987402e+00
     20 	4.986195e+00
XXX
     21 	4.983709e+00
XXX
     22 	4.983092e+00
XXX
XXX
XXX
XXX
     23 	4.981823e+00
     24 	4.981458e+00
XXX
XXX
     25 	4.981337e+00
     26 	4.980241e+00
     27 	4.980240e+00
     28 	4.979977e+00
     29 	4.978517e+00
XXX
XXX
     30 	4.978110e+00
     31 	4.978110e+00
     32 	4.978109e+00
     33 	4.978108e+00
     34 	4.978108e+00
     35 	4.978107e+00
XXX
XXX
XXX
XXX
XXX
     36 	4.978082e+00
     37 	4.978074e+00
     38 	4.978068e+00
     39 	4.978035e+00
     40 	4.978032e+00
     41 	4.978017e+00
     42 	4.977950e+00
     43 	4.977807e+00
XXX
XXX
     44 	4.976284e+00
     45 	4.974744e+00
     46 	4.974393e+00
     47 	4.974392e+00
     48 	4.974154e+00
     49 	4.974120e+00
     50 	4.974004e+00
     51 	4.973964e+00
     52 	4.973956e+00
     53 	4.973930e+00
     54 	4.973928e+00
     55 	4.973915e+00
     56 	4.973904e+00
     57 	4.973904e+00
     58 	4.973904e+00
     59 	4.973904e+00
     60 	4.973904e+00
     61 	4.973904e+00
     62 	4.973904e+00
     63 	4.973904e+00
     64 	4.973904e+00
     65 	4.973904e+00
     66 	4.973903e+00
     67 	4.973842e+00
     68 	4.973698e+00
     69 	4.973646e+00
     70 	4.973638e+00
     71 	4.973637e+00
     72 	4.973636e+00
     73 	4.973634e+00
     74 	4.973629e+00
     75 	4.973624e+00
     76 	4.973622e+00
     77 	4.973612e+00
XXX
XXX
XXX
     78 	4.973611e+00
XXX
     79 	4.973610e+00
     80 	4.973610e+00
     81 	4.973610e+00
     82 	4.973610e+00
     83 	4.973609e+00
     84 	4.973609e+00
     85 	4.973609e+00
     86 	4.973609e+00
     87 	4.973608e+00
     88 	4.973607e+00
     89 	4.973603e+00
     90 	4.973599e+00
     91 	4.973597e+00
     92 	4.973597e+00
     93 	4.973597e+00
     94 	4.973597e+00
     95 	4.973596e+00
     96 	4.973596e+00
     97 	4.973596e+00
     98 	4.973596e+00
     99 	4.973596e+00
    100 	4.973596e+00

Increasing Soft Maximum Generation Limit by 100 (MaxGenerations) to 200.
I'm doing this because the fitness is still improving.

    101 	4.973596e+00
    102 	4.973596e+00
    103 	4.973595e+00
    104 	4.973595e+00
    105 	4.973595e+00
    106 	4.973595e+00
    107 	4.973594e+00
    108 	4.973594e+00
    109 	4.973594e+00
    110 	4.973594e+00
    111 	4.973594e+00
    112 	4.973594e+00
    113 	4.973594e+00
    114 	4.973594e+00
    115 	4.973594e+00
    116 	4.973594e+00
    117 	4.973594e+00
    119 	4.973594e+00
    120 	4.973594e+00
    121 	4.973594e+00
    122 	4.973594e+00
    123 	4.973594e+00
    124 	4.973594e+00
    125 	4.973594e+00
    136 	4.973594e+00
    137 	4.973594e+00
    138 	4.973594e+00
    139 	4.973594e+00
    140 	4.973594e+00
    141 	4.973594e+00
    142 	4.973594e+00
    143 	4.973594e+00
    144 	4.973593e+00
    145 	4.973593e+00
    146 	4.973593e+00
    147 	4.973593e+00
    148 	4.973593e+00
    149 	4.973593e+00
    150 	4.973593e+00
    151 	4.973593e+00
    152 	4.973593e+00
    153 	4.973592e+00
    154 	4.973592e+00
    155 	4.973592e+00
    156 	4.973592e+00
    157 	4.973592e+00
    158 	4.973592e+00
    159 	4.973592e+00
    160 	4.973592e+00
    161 	4.973592e+00
    162 	4.973592e+00
    163 	4.973592e+00
    164 	4.973592e+00
    165 	4.973592e+00
    166 	4.973592e+00
    167 	4.973592e+00
    168 	4.973591e+00
    169 	4.973591e+00
    170 	4.973591e+00
    171 	4.973591e+00
    172 	4.973590e+00
    173 	4.973589e+00
    174 	4.973588e+00
    175 	4.973588e+00
XXX
XXX
XXX
XXX
XXX
    176 	4.973587e+00

WARNING: Turning Off MemoryMatrix because memory usage is too great.

    177 	4.973587e+00
    178 	4.973586e+00
    179 	4.973586e+00
    180 	4.973586e+00
    181 	4.973586e+00
    182 	4.973586e+00
    183 	4.973586e+00
    184 	4.973586e+00
    185 	4.973586e+00
    186 	4.973586e+00
    187 	4.973586e+00
    188 	4.973585e+00
    189 	4.973585e+00
    190 	4.973585e+00
    191 	4.973585e+00
    192 	4.973585e+00
    193 	4.973585e+00
    194 	4.973585e+00
    195 	4.973585e+00
    196 	4.973585e+00
    197 	4.973585e+00
    198 	4.973585e+00
    199 	4.973585e+00
    200 	4.973585e+00

Increasing Soft Maximum Generation Limit by 200 (MaxGenerations) to 400.
I'm doing this because the fitness is still improving.

    201 	4.973585e+00
    202 	4.973585e+00
    204 	4.973585e+00
    205 	4.973584e+00
    206 	4.973584e+00
    207 	4.973584e+00
    208 	4.973584e+00
    209 	4.973584e+00
    210 	4.973584e+00
    211 	4.973584e+00
    212 	4.973584e+00
    213 	4.973584e+00
    214 	4.973584e+00
    215 	4.973584e+00
    216 	4.973584e+00
    217 	4.973584e+00
    218 	4.973584e+00
    219 	4.973584e+00
    220 	4.973584e+00
    221 	4.973584e+00
    223 	4.973584e+00
    225 	4.973584e+00

Soft Generation Wait Limit Hit.
No Improvement in 30 Generations

Best Fit Found at Generation 225
Fit Value = 4.973584e+00


Parameters at the Solution (value, gradient):

 X[ 1] :	-6.072076e-01	G[ 1] :	3.724149e+00
 X[ 2] :	4.967149e+00	G[ 2] :	1.460635e+00
 X[ 3] :	1.377241e+01	G[ 3] :	1.799789e-01
 X[ 4] :	-8.517124e-01	G[ 4] :	4.887873e-02
 X[ 5] :	-4.895766e-02	G[ 5] :	1.275799e+01
 X[ 6] :	7.206971e-01	G[ 6] :	1.615050e+00
 X[ 7] :	1.312021e+00	G[ 7] :	-8.306651e-01
 X[ 8] :	6.222180e+02	G[ 8] :	7.463684e-03
 X[ 9] :	-1.152512e+00	G[ 9] :	8.865598e-02
 X[10] :	3.966709e-02	G[10] :	4.549977e+01
 X[11] :	3.350830e+00	G[11] :	2.455013e+01
 X[12] :	3.041419e+00	G[12] :	-4.769159e+00
 X[13] :	1.094786e+00	G[13] :	-1.286999e-01
 X[14] :	1.444478e+00	G[14] :	2.944402e-01
 X[15] :	2.164879e-02	G[15] :	1.596513e+02
 X[16] :	4.084164e+00	G[16] :	3.388911e+01
 X[17] :	1.729433e+00	G[17] :	1.925733e+01
 X[18] :	2.604110e+00	G[18] :	6.231853e+00
 X[19] :	2.778205e+00	G[19] :	-4.242586e-01
 X[20] :	-1.224049e-02	G[20] :	4.788274e+01

Solution Found Generation 225
Number of Generations Run 238


Fri Mar  5 02:54:04 2004
Total run time : 0 hours 21 minutes and 20 seconds

(iter 1 ): LQD Results:
                                                            buchanan00      nader00     gore00      bush00 other00
(Intercept)/(Intercept)/(Intercept)/(Intercept)/NA         -0.60720761   0.72069713 3.35083031  4.08416397       0
pperot96/pdemnader96/pdem96/prep96/NA                       4.96714944   1.31202146 3.04141886  1.72943303       0
pChangeRepRV00/pGreenRV00/pChangeDemRV00/pChangeRepRV00/NA 13.77241479 622.21795143 1.09478629  2.60411008       0
pcuban00/pcuban00/pcuban00/pcuban00/NA                     -0.85171239  -1.15251224 1.44447803  2.77820525       0
pr1...1./pr1...2./pr1...3./pr1...4./NA                     -0.04895766   0.03966709 0.02164879 -0.01224049       0

(iter 1 ): LQD sigma: 4.973584 

(iter 1 ): Tanh Estimates
                                                            buchanan00      nader00     gore00       bush00 other00
(Intercept)/(Intercept)/(Intercept)/(Intercept)/NA         -0.60389642   0.71319412 3.35193103  4.084158543       0
pperot96/pdemnader96/pdem96/prep96/NA                       4.68594266   1.31899257 3.04711428  1.730196468       0
pChangeRepRV00/pGreenRV00/pChangeDemRV00/pChangeRepRV00/NA 13.19626482 631.13113512 1.08931624  2.601453366       0
pcuban00/pcuban00/pcuban00/pcuban00/NA                     -1.05474397  -1.03230989 1.46647258  2.762660254       0
pr1...1./pr1...2./pr1...3./pr1...4./NA                     -0.05122292   0.03419177 0.02168709 -0.008756088       0

(iter 1 ): Tanh Sandwich SEs
                                                           buchanan00     nader00     gore00     bush00 other00
(Intercept)/(Intercept)/(Intercept)/(Intercept)/NA         0.14710263  0.18121151 0.15101140 0.13956369       0
pperot96/pdemnader96/pdem96/prep96/NA                      1.31694060  0.45152045 0.31270840 0.28899605       0
pChangeRepRV00/pGreenRV00/pChangeDemRV00/pChangeRepRV00/NA 1.23912086 76.89646715 0.91605347 0.71108483       0
pcuban00/pcuban00/pcuban00/pcuban00/NA                     0.44866209  0.27706767 0.24200297 0.22680721       0
pr1...1./pr1...2./pr1...3./pr1...4./NA                     0.02402339  0.01420045 0.01040505 0.00745048       0

(iter 1 ): TANH sigma: 4.320737 


**********************************

Iteration: 2 
using LQD sigma provided by Tanh.


Fri Mar  5 02:54:05 2004
Domains:
 -1.811689e+00   <=  X1   <=    6.038964e-01 
 -4.685943e+00   <=  X2   <=    1.405783e+01 
 -1.319626e+01   <=  X3   <=    3.958879e+01 
 -3.164232e+00   <=  X4   <=    1.054744e+00 
 -1.536688e-01   <=  X5   <=    5.122292e-02 
 -7.131941e-01   <=  X6   <=    2.139582e+00 
 -1.318993e+00   <=  X7   <=    3.956978e+00 
 -6.311311e+02   <=  X8   <=    1.893393e+03 
 -3.096930e+00   <=  X9   <=    1.032310e+00 
 -3.419177e-02   <=  X10  <=    1.025753e-01 
 -3.351931e+00   <=  X11  <=    1.005579e+01 
 -3.047114e+00   <=  X12  <=    9.141343e+00 
 -1.089316e+00   <=  X13  <=    3.267949e+00 
 -1.466473e+00   <=  X14  <=    4.399418e+00 
 -2.168709e-02   <=  X15  <=    6.506127e-02 
 -4.084159e+00   <=  X16  <=    1.225248e+01 
 -1.730196e+00   <=  X17  <=    5.190589e+00 
 -2.601453e+00   <=  X18  <=    7.804360e+00 
 -2.762660e+00   <=  X19  <=    8.287981e+00 
 -2.626826e-02   <=  X20  <=    8.756088e-03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	139
	(2) Uniform Mutation.................. 	136
	(3) Boundary Mutation................. 	136
	(4) Non-Uniform Mutation.............. 	136
	(5) Polytope Crossover................ 	2044
	(6) Multiple Point Simple Crossover... 	136
	(7) Whole Non-Uniform Mutation........ 	136
	(8) Heuristic Crossover............... 	136
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 30
Population size       : 3000
Convergence Tolerance: 1.000000e-07

Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stoping
Using Out of Bounds Individuals.



Minimization Problem.



STARTING VALUES


The 2 best initial individuals are
-0.60	 4.69	13.20	-1.05	-0.05	 0.71	 1.32	631.13	-1.03	 0.03	 3.35	 3.05	 1.09	 1.47	 0.02	 4.08	 1.73	 2.60	 2.76	-0.01	
fitness = 5.179080e+00

-0.12	-2.45	 3.22	-0.46	-0.01	 1.75	-1.27	-7.76	-2.66	 0.05	 3.69	 2.01	-0.10	 2.73	-0.02	 4.40	 1.27	 7.37	 4.42	 0.01	
fitness = 1.101622e+01


The worst fit of the population is: 7.463875e+04




Generation#	    Solution Value

      0 	5.179080e+00
      1 	5.132832e+00
XXX
XXX
XXX
XXX
      2 	5.078955e+00
      3 	5.077171e+00
XXX
XXX
      4 	5.063717e+00
      5 	5.044281e+00
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
      6 	5.036175e+00
      7 	5.033684e+00
      8 	5.029797e+00
XXX
      9 	5.023410e+00
     10 	5.022784e+00
     11 	5.021091e+00
     12 	5.020138e+00
     13 	5.020120e+00
     14 	5.011916e+00
     16 	5.011869e+00
     17 	5.011859e+00
XXX
XXX
XXX
     18 	5.011423e+00
     19 	5.011249e+00
     20 	5.011247e+00
XXX
XXX
XXX
     21 	5.011211e+00
     22 	5.011071e+00
XXX
XXX
XXX
     23 	5.010952e+00
XXX
XXX
XXX
     24 	5.010589e+00
     25 	5.010560e+00
     26 	5.010538e+00
     27 	5.010528e+00
     28 	5.010518e+00
     29 	5.010516e+00
     30 	5.010515e+00
     31 	5.010481e+00
XXX
XXX
XXX
     33 	5.010214e+00
XXX
     34 	5.009888e+00
     35 	5.009552e+00
     36 	5.009347e+00
     37 	5.009311e+00
     38 	5.009303e+00
     39 	5.008831e+00
     41 	5.008764e+00
XXX
XXX
XXX
XXX
XXX
XXX
XXX
     42 	5.008622e+00
     43 	5.008622e+00
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
     44 	5.008538e+00
     45 	5.008362e+00
     46 	5.008212e+00
     47 	5.007967e+00
     48 	5.007947e+00
     49 	5.007947e+00
     50 	5.007875e+00
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
XXX
     51 	5.007311e+00
XXX
XXX
XXX
XXX
XXX
XXX
XXX
     52 	5.006605e+00
     53 	5.005109e+00
     54 	5.002546e+00
     55 	4.998568e+00
     56 	4.998282e+00
XXX
     57 	4.997509e+00
     58 	4.996679e+00
     59 	4.996258e+00
     60 	4.995653e+00
     61 	4.995040e+00
     62 	4.995018e+00
     63 	4.995017e+00
     64 	4.994994e+00
XXX
XXX
     65 	4.994974e+00
     66 	4.994970e+00
     67 	4.994968e+00
     68 	4.994965e+00
     69 	4.994903e+00
     70 	4.994819e+00
     71 	4.994668e+00
XXX
XXX
XXX
XXX
XXX
     72 	4.994190e+00
XXX
XXX
XXX
     73 	4.994132e+00
     74 	4.994105e+00
     75 	4.994085e+00
     76 	4.994067e+00
     77 	4.994058e+00
     78 	4.994051e+00
     79 	4.994051e+00
     80 	4.994051e+00
     81 	4.994045e+00
     82 	4.994030e+00
     83 	4.993976e+00
     84 	4.993971e+00
     85 	4.993966e+00
     86 	4.993962e+00
     87 	4.993958e+00
     88 	4.993955e+00
     89 	4.993953e+00
     90 	4.993953e+00
     91 	4.993952e+00
     92 	4.993951e+00
     93 	4.993951e+00
     94 	4.993951e+00
     95 	4.993951e+00
     96 	4.993951e+00
     97 	4.993950e+00
     98 	4.993949e+00
     99 	4.993948e+00
    100 	4.993948e+00

Increasing Soft Maximum Generation Limit by 100 (MaxGenerations) to 200.
I'm doing this because the fitness is still improving.

    101 	4.993947e+00
    102 	4.993947e+00
    103 	4.993947e+00
    104 	4.993947e+00
    105 	4.993947e+00
    106 	4.993947e+00
    107 	4.993947e+00
    108 	4.993947e+00
    109 	4.993947e+00
    110 	4.993947e+00
    111 	4.993947e+00
    112 	4.993947e+00
    113 	4.993947e+00
    114 	4.993947e+00
    115 	4.993947e+00
    116 	4.993947e+00
    117 	4.993947e+00
    118 	4.993947e+00
    119 	4.993947e+00
    120 	4.993947e+00
    121 	4.993947e+00
    122 	4.993947e+00
    123 	4.993947e+00
    124 	4.993947e+00
    125 	4.993947e+00
    126 	4.993947e+00
    127 	4.993947e+00
    128 	4.993947e+00
    129 	4.993947e+00
    130 	4.993947e+00
    131 	4.993947e+00
    132 	4.993947e+00
    133 	4.993947e+00
    134 	4.993947e+00
    135 	4.993947e+00
    136 	4.993947e+00
    137 	4.993947e+00
    138 	4.993947e+00
    139 	4.993947e+00
    140 	4.993947e+00
    141 	4.993947e+00
    142 	4.993947e+00
    143 	4.993947e+00
    144 	4.993947e+00
    145 	4.993947e+00
    146 	4.993947e+00
    147 	4.993947e+00
    148 	4.993946e+00
    149 	4.993946e+00
    150 	4.993946e+00
    151 	4.993946e+00
    152 	4.993944e+00
    153 	4.993940e+00
    154 	4.993939e+00
    155 	4.993939e+00
    156 	4.993938e+00
    157 	4.993938e+00
    158 	4.993938e+00
    159 	4.993938e+00
    160 	4.993938e+00
    161 	4.993938e+00
    162 	4.993938e+00
    163 	4.993937e+00
    164 	4.993937e+00
    165 	4.993936e+00
    166 	4.993936e+00
    167 	4.993936e+00
    168 	4.993936e+00
    169 	4.993936e+00
    170 	4.993936e+00
    171 	4.993936e+00
    172 	4.993936e+00
    173 	4.993936e+00
    174 	4.993935e+00

WARNING: Turning Off MemoryMatrix because memory usage is too great.

    175 	4.993935e+00
    176 	4.993935e+00
    177 	4.993935e+00
    178 	4.993935e+00
    179 	4.993935e+00
    180 	4.993935e+00
    181 	4.993935e+00
    182 	4.993935e+00
    183 	4.993935e+00
    184 	4.993935e+00
    185 	4.993935e+00
    186 	4.993935e+00
    187 	4.993935e+00
    188 	4.993934e+00
    189 	4.993933e+00
    190 	4.993933e+00
    191 	4.993933e+00
    192 	4.993933e+00
    193 	4.993933e+00
    194 	4.993933e+00
    195 	4.993933e+00
    196 	4.993933e+00
    197 	4.993932e+00
    198 	4.993932e+00
    199 	4.993932e+00
    200 	4.993932e+00

Increasing Soft Maximum Generation Limit by 200 (MaxGenerations) to 400.
I'm doing this because the fitness is still improving.

    201 	4.993932e+00
    202 	4.993931e+00
    203 	4.993931e+00
    204 	4.993931e+00
    205 	4.993931e+00

Soft Generation Wait Limit Hit.
No Improvement in 30 Generations

Best Fit Found at Generation 205
Fit Value = 4.993931e+00


Parameters at the Solution (value, gradient):

 X[ 1] :	-6.069649e-01	G[ 1] :	-3.262870e+00
 X[ 2] :	4.981706e+00	G[ 2] :	-8.306241e-01
 X[ 3] :	1.372754e+01	G[ 3] :	-7.873865e-02
 X[ 4] :	-8.658120e-01	G[ 4] :	-1.167045e-01
 X[ 5] :	-4.709116e-02	G[ 5] :	1.736275e+01
 X[ 6] :	7.138820e-01	G[ 6] :	3.001649e+00
 X[ 7] :	1.319302e+00	G[ 7] :	-2.141149e+00
 X[ 8] :	6.300858e+02	G[ 8] :	1.122529e-03
 X[ 9] :	-1.153149e+00	G[ 9] :	4.727586e-01
 X[10] :	4.156739e-02	G[10] :	1.743992e+00
 X[11] :	3.351049e+00	G[11] :	-6.260239e+00
 X[12] :	3.049781e+00	G[12] :	-6.210218e+00
 X[13] :	1.089013e+00	G[13] :	5.842191e+00
 X[14] :	1.463307e+00	G[14] :	-1.125340e+00
 X[15] :	2.138177e-02	G[15] :	1.266293e+03
 X[16] :	4.086855e+00	G[16] :	4.043783e+01
 X[17] :	1.729439e+00	G[17] :	1.990273e+01
 X[18] :	2.600723e+00	G[18] :	2.949681e+00
 X[19] :	2.764580e+00	G[19] :	-1.027850e-01
 X[20] :	-1.010842e-02	G[20] :	-1.165743e+02

Solution Found Generation 205
Number of Generations Run 236


Fri Mar  5 03:14:31 2004
Total run time : 0 hours 20 minutes and 26 seconds

(iter 2 ): LQD Results:
                                                            buchanan00      nader00     gore00      bush00 other00
(Intercept)/(Intercept)/(Intercept)/(Intercept)/NA         -0.60696486   0.71388196 3.35104900  4.08685536       0
pperot96/pdemnader96/pdem96/prep96/NA                       4.98170610   1.31930156 3.04978131  1.72943865       0
pChangeRepRV00/pGreenRV00/pChangeDemRV00/pChangeRepRV00/NA 13.72753818 630.08579523 1.08901256  2.60072344       0
pcuban00/pcuban00/pcuban00/pcuban00/NA                     -0.86581198  -1.15314909 1.46330654  2.76458027       0
pr1...1./pr1...2./pr1...3./pr1...4./NA                     -0.04709116   0.04156739 0.02138177 -0.01010842       0

(iter 2 ): LQD sigma: 4.993931 

WARNING: New fit is worse.  Stopping.
It may be a good idea to restart with a larger GENOUD population.
> 
> summary(muFLfull1, weights=TRUE)

Choice 1 : buchanan00 Estimates and SE:
                   Est SE.Sand SE.OPG SE.Hess t.val.Sand
(Intercept)    -0.6040   0.147 0.0574 0.03950      -4.11
pperot96        4.6900   1.320 0.4700 0.34100       3.56
pChangeRepRV00 13.2000   1.240 0.5660 0.36500      10.60
pcuban00       -1.0500   0.449 1.4100 0.20100      -2.35
pr1...1.       -0.0512   0.024 0.0138 0.00738      -2.13


Choice 2 : nader00 Estimates and SE:
                    Est SE.Sand  SE.OPG  SE.Hess t.val.Sand
(Intercept)      0.7130  0.1810 0.05620  0.03840       3.94
pdemnader96      1.3200  0.4520 0.13100  0.08680       2.92
pGreenRV00     631.0000 76.9000 0.03440 15.30000       8.21
pcuban00        -1.0300  0.2770 1.71000  0.13400      -3.73
pr1...2.         0.0342  0.0142 0.00491  0.00317       2.41


Choice 3 : gore00 Estimates and SE:
                  Est SE.Sand  SE.OPG SE.Hess t.val.Sand
(Intercept)    3.3500  0.1510 0.02900 0.02590      22.20
pdem96         3.0500  0.3130 0.06440 0.05300       9.74
pChangeDemRV00 1.0900  0.9160 0.17500 0.16000       1.19
pcuban00       1.4700  0.2420 0.78900 0.11100       6.06
pr1...3.       0.0217  0.0104 0.00253 0.00209       2.08


Choice 4 : bush00 Estimates and SE:
                    Est SE.Sand  SE.OPG SE.Hess t.val.Sand
(Intercept)     4.08000 0.14000 0.02830 0.02340      29.30
prep96          1.73000 0.28900 0.05770 0.04960       5.99
pChangeRepRV00  2.60000 0.71100 0.15200 0.13100       3.66
pcuban00        2.76000 0.22700 0.81200 0.10900      12.20
pr1...4.       -0.00876 0.00745 0.00201 0.00163      -1.18


Choice 5 : other00 Estimates and SE:
               Est SE.Sand SE.OPG SE.Hess t.val.Sand
NA               0       0      0       0        NaN
NA               0       0      0       0        NaN
NA               0       0      0       0        NaN
NA               0       0      0       0        NaN
NA               0       0      0       0        NaN


LQD sigma: 4.973584 
TANH sigma: 4.320737 

Number of Observations: 67 
Number of observations with at least one zero weight: 8 
Number of zero weights: 11 
TANH: weights
   name weights:buchanan00 weights:nader00 weights:gore00 weights:bush00
1     1           1.000000        1.000000      1.0000000       0.000000
2     2           1.000000        1.000000      1.0000000       1.000000
3     3           1.000000        1.000000      1.0000000       1.000000
4     4           1.000000        1.000000      1.0000000       1.000000
5     5           1.000000        1.000000      0.8482000       1.000000
6     6           1.000000        0.000000      0.0000000       1.000000
7     7           0.814714        1.000000      1.0000000       1.000000
8     8           1.000000        1.000000      1.0000000       1.000000
9     9           1.000000        0.557344      1.0000000       1.000000
10   10           1.000000        1.000000      1.0000000       1.000000
11   11           1.000000        1.000000      1.0000000       1.000000
12   12           1.000000        1.000000      1.0000000       1.000000
13   13           1.000000        1.000000      1.0000000       1.000000
14   14           1.000000        1.000000      1.0000000       1.000000
15   15           1.000000        1.000000      1.0000000       1.000000
16   16           1.000000        0.000000      0.0000000       1.000000
17   17           1.000000        1.000000      0.2710380       1.000000
18   18           1.000000        1.000000      1.0000000       1.000000
19   19           1.000000        1.000000      1.0000000       1.000000
20   20           1.000000        1.000000      1.0000000       1.000000
21   21           1.000000        1.000000      1.0000000       1.000000
22   22           1.000000        1.000000      1.0000000       1.000000
23   23           1.000000        1.000000      1.0000000       1.000000
24   24           1.000000        1.000000      1.0000000       1.000000
25   25           1.000000        1.000000      1.0000000       1.000000
26   26           1.000000        1.000000      1.0000000       1.000000
27   27           1.000000        0.963315      1.0000000       1.000000
28   28           1.000000        1.000000      1.0000000       1.000000
29   29           1.000000        1.000000      0.8850130       1.000000
30   30           1.000000        1.000000      1.0000000       1.000000
31   31           1.000000        1.000000      1.0000000       1.000000
32   32           1.000000        1.000000      1.0000000       1.000000
33   33           1.000000        1.000000      1.0000000       1.000000
34   34           1.000000        1.000000      1.0000000       1.000000
35   35           1.000000        1.000000      1.0000000       1.000000
36   36           1.000000        1.000000      1.0000000       1.000000
37   37           1.000000        0.208472      0.0000000       1.000000
38   38           1.000000        1.000000      1.0000000       1.000000
39   39           1.000000        1.000000      1.0000000       1.000000
40   40           1.000000        1.000000      1.0000000       1.000000
41   41           1.000000        1.000000      1.0000000       1.000000
42   42           1.000000        1.000000      0.1767160       0.262730
43   43           1.000000        1.000000      0.0254426       1.000000
44   44           1.000000        0.218086      1.0000000       1.000000
45   45           1.000000        1.000000      1.0000000       1.000000
46   46           1.000000        1.000000      1.0000000       1.000000
47   47           1.000000        1.000000      1.0000000       1.000000
48   48           1.000000        0.000000      1.0000000       1.000000
49   49           1.000000        0.926998      1.0000000       0.921903
50   50           0.000000        0.000000      1.0000000       1.000000
51   51           1.000000        0.463767      0.0000000       1.000000
52   52           1.000000        1.000000      0.0000000       1.000000
53   53           1.000000        0.408173      1.0000000       1.000000
54   54           1.000000        1.000000      1.0000000       1.000000
55   55           1.000000        1.000000      1.0000000       1.000000
56   56           1.000000        1.000000      0.7507940       1.000000
57   57           1.000000        1.000000      0.4972650       1.000000
58   58           1.000000        0.941707      1.0000000       1.000000
59   59           1.000000        0.519907      1.0000000       1.000000
60   60           1.000000        1.000000      1.0000000       1.000000
61   61           1.000000        1.000000      1.0000000       1.000000
62   62           1.000000        1.000000      1.0000000       1.000000
63   63           1.000000        1.000000      1.0000000       1.000000
64   64           1.000000        1.000000      0.6668140       1.000000
65   65           1.000000        1.000000      1.0000000       1.000000
66   66           1.000000        1.000000      1.0000000       1.000000
67   67           1.000000        1.000000      1.0000000       1.000000
> 
> save(muFLfull1, file="FLfull1.b.RData");
> proc.time()
[1] 5535.44  224.38 5788.00    0.00    0.00
> 
